Automating & Accelerating Scientific Discovery with AI

Date: 25 September- 6 October,  2023.

Venue: UNIGE

Organizers: Organizers Slava Voloshynovskiy (UNIGE) and Tobias Golling (UNIGE)

The spotlight of the workshop was on generative models and their pivotal role in addressing the challenges faced in particle physics. We are on the cusp of a revolution, where advanced machine learning is poised to surpass traditional methodologies. This event navigated topics such as diffusion, score, foundation models, and their myriad applications spanning inverse problems, generative model challenges, and out-of-distribution detection.

List of participants:

Slava Voloshynovskiy (UNIGE)

Tobias Golling (UNIGE)

Konstantin Novoselov (National University of Singapore)

Daniel Whiteson (University of California)

Anna Scaife (University of Manchester)

Jan Kieseler (KIT)

Lukas Heinrich (Technical University Munich)

Gaia Grosso (IAIFI Fellow, IAIFI, Boston)

David Shih (Rutgers University)

Andrey Ustyuzhanin (National University of Singapore)

Michael Kagan (SLAC National Accelerator Laboratory)

Andrea Coccaro (INFN, Genova)

Mikael Kuusela (Carnegie Mellon University)

Artem Maevskiy (National University of Singapore)